Employee Engagement Outlooks in the Era of COVID-19: Implications for Human Resource Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The severe COVID-19 pandemic triggered an extraordinary global health crisis, resulting in an economic downturn and negative consequences for employees' work lives, especially employee engagement. An overview of how literature has been tackling the impact of COVID-19 on employee engagement is still missing. Hence, this article illustrates how literature has addressed the development and maintenance of employee engagement in various parts of the world due to the global health crisis. The report discusses individual and organizational roles in fostering employee engagement. The article provides general ideas for researchers interested in extending employee engagement studies under critical situations. It also highlights the consideration for human resource management in both individual and organizational contexts. As well, equips organizational leaders and human resource practitioners with productive and enabling power for informed decision-making about improving employee engagement of their workforce during the ongoing pandemic or other stressful events.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it